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使用手持式漫反射光谱探头实现完整的口腔癌切除术。

Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe.

机构信息

Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Amsterdam, The Netherlands.

Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Pathology, Amsterdam, The Netherlands.

出版信息

J Biomed Opt. 2018 Oct;23(12):1-8. doi: 10.1117/1.JBO.23.12.121611.

Abstract

This ex-vivo study evaluates the feasibility of diffuse reflectance spectroscopy (DRS) for discriminating tumor from healthy tissue, with the aim to develop a technology that can assess resection margins for the presence of tumor cells during oral cavity cancer surgery. Diffuse reflectance spectra were acquired on fresh surgical specimens from 28 patients with oral cavity squamous cell carcinoma. The spectra (400 to 1600 nm) were detected after illuminating tissue with a source fiber at 0.3-, 0.7-, 1.0-, and 2.0-mm distances from a detection fiber, obtaining spectral information from different sampling depths. The spectra were correlated with histopathology. A total of 76 spectra were obtained from tumor tissue and 110 spectra from healthy muscle tissue. The first- and second-order derivatives of the spectra were calculated and a classification algorithm was developed using fivefold cross validation with a linear support vector machine. The best results were obtained by the reflectance measured with a 1-mm source-detector distance (sensitivity, specificity, and accuracy are 89%, 82%, and 86%, respectively). DRS can accurately discriminate tumor from healthy tissue in an ex-vivo setting using a 1-mm source-detector distance. Accurate validation methods are warranted for larger sampling depths to allow for guidance during oral cavity cancer excision.

摘要

本离体研究评估了漫反射光谱(DRS)用于区分肿瘤与健康组织的可行性,旨在开发一种技术,可在口腔癌手术期间评估切缘是否存在肿瘤细胞。从 28 名口腔鳞状细胞癌患者的新鲜手术标本中采集漫反射光谱。在将源光纤以 0.3、0.7、1.0 和 2.0 毫米的距离从检测光纤照射组织后,检测 400 至 1600nm 的光谱(nm),从而从不同的采样深度获得光谱信息。对光谱与组织病理学进行相关性分析。从肿瘤组织中获得了 76 个光谱,从健康肌肉组织中获得了 110 个光谱。计算了光谱的一阶和二阶导数,并使用五重交叉验证和线性支持向量机开发了分类算法。通过使用 1mm 源-探测器距离测量的反射率,获得了最佳结果(灵敏度、特异性和准确性分别为 89%、82%和 86%)。DRS 可以使用 1mm 的源-探测器距离准确区分肿瘤与健康组织,在离体环境中。需要更准确的验证方法来允许更大的采样深度,以便在口腔癌切除期间进行指导。

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